RIS

N2 - The research on allocation of FACTS devices has
attracted quite a lot interests from various aspects. In this paper,
a hybrid model is proposed to optimise the number, location as
well as the parameter settings of static Var compensator (SVC)
deployed in large–scale power systems. The model utilises the
result of vulnerability assessment for determining the candidate
locations. A hybrid optimisation method including two stages
is proposed to find out the optimal solution of SVC in large–
scale planning problem. In the first stage, a conventional genetic
algorithm (GA) is exploited to generate a candidate solution
pool. Then in the second stage, the candidates are presented
to a linear planning model to investigate the system optimal
loadability, hence the optimal solution for SVC planning can be
achieved. The method is presented to IEEE 300–bus system.

AB - The research on allocation of FACTS devices has
attracted quite a lot interests from various aspects. In this paper,
a hybrid model is proposed to optimise the number, location as
well as the parameter settings of static Var compensator (SVC)
deployed in large–scale power systems. The model utilises the
result of vulnerability assessment for determining the candidate
locations. A hybrid optimisation method including two stages
is proposed to find out the optimal solution of SVC in large–
scale planning problem. In the first stage, a conventional genetic
algorithm (GA) is exploited to generate a candidate solution
pool. Then in the second stage, the candidates are presented
to a linear planning model to investigate the system optimal
loadability, hence the optimal solution for SVC planning can be
achieved. The method is presented to IEEE 300–bus system.